Enhanced Channel Estimation Using Superimposed Training Based on Universal Basis Expansion
In this correspondence, an approach to enhance the quality of superimposed training (ST) based channel estimation procedures is proposed. The approach is based on postprocessing the estimated channel. This postprocessing is performed with the projection of the estimated channel onto a set of orthogo...
Gespeichert in:
| Veröffentlicht in: | IEEE transactions on signal processing 2009-03, Vol.57 (3), p.1217-1222 |
|---|---|
| Hauptverfasser: | , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext bestellen |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 1222 |
|---|---|
| container_issue | 3 |
| container_start_page | 1217 |
| container_title | IEEE transactions on signal processing |
| container_volume | 57 |
| creator | Carrasco-Alvarez, R. Parra-Michel, R. Orozco-Lugo, A.G. Tugnait, J.K. |
| description | In this correspondence, an approach to enhance the quality of superimposed training (ST) based channel estimation procedures is proposed. The approach is based on postprocessing the estimated channel. This postprocessing is performed with the projection of the estimated channel onto a set of orthogonal functions known as the Universal Basis (UB), that were defined in [A. G. Orozco-Lugo, R. Parra-Michel, D. McLernon, and V. Kontorovitch, ldquoEnhancing the Performance of the CR Blind Channel Estimation Algorithm Using the Karhunen-Loeve Expansion,rdquo Proceedings of the ICASSP , May 2002, pp. III-2653-III-2656 ]. The projection leads to improved channel estimation when compared to raw ST methods. We demonstrate the enhanced performance of the proposed technique by means of both theoretical formulas and simulation results, focusing on data dependent ST. |
| doi_str_mv | 10.1109/TSP.2008.2010645 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_RIE</sourceid><recordid>TN_cdi_ieee_primary_4703215</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>4703215</ieee_id><sourcerecordid>2315594011</sourcerecordid><originalsourceid>FETCH-LOGICAL-c383t-406018402da9041fd868d6d82e7f0111c4c2024cdf7ba081b80b6604a7c98abe3</originalsourceid><addsrcrecordid>eNp9kU1LxDAQhoso-HkXvBRBPXWdSdIkPeqyfoCg4AriJWTTVCPdtCa7ov_elF08ePCSSWaed8LMm2WHCCNEqM6njw8jAiDTgcBZuZHtYMWwACb4ZrpDSYtSiuftbDfGdwBkrOI72cvEv2lvbJ2PU_S2zSdx4eZ64TqfP0XnX_PHZW-Dm_ddTNQ0aOeH7KUengPk3acNUbdDysV88tVrH5N8P9tqdBvtwTruZU9Xk-n4pri7v74dX9wVhkq6KBhwQMmA1LoChk0tuax5LYkVDSCiYYYAYaZuxEyDxJmEGefAtDCV1DNL97KzVd8-dB9LGxdq7qKxbau97ZZRSVECEYxBIk__JSmrgFQVSeDxH_C9WwafplCSI1JScpkgWEEmdDEG26g-rUmHb4WgBk9U8kQNnqi1J0lysu6ro9FtE9LqXfzVEWQCJR3-P1pxzlr7W2YCKMGS_gBdY5Oc</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>861132568</pqid></control><display><type>article</type><title>Enhanced Channel Estimation Using Superimposed Training Based on Universal Basis Expansion</title><source>IEEE Electronic Library (IEL)</source><creator>Carrasco-Alvarez, R. ; Parra-Michel, R. ; Orozco-Lugo, A.G. ; Tugnait, J.K.</creator><creatorcontrib>Carrasco-Alvarez, R. ; Parra-Michel, R. ; Orozco-Lugo, A.G. ; Tugnait, J.K.</creatorcontrib><description>In this correspondence, an approach to enhance the quality of superimposed training (ST) based channel estimation procedures is proposed. The approach is based on postprocessing the estimated channel. This postprocessing is performed with the projection of the estimated channel onto a set of orthogonal functions known as the Universal Basis (UB), that were defined in [A. G. Orozco-Lugo, R. Parra-Michel, D. McLernon, and V. Kontorovitch, ldquoEnhancing the Performance of the CR Blind Channel Estimation Algorithm Using the Karhunen-Loeve Expansion,rdquo Proceedings of the ICASSP , May 2002, pp. III-2653-III-2656 ]. The projection leads to improved channel estimation when compared to raw ST methods. We demonstrate the enhanced performance of the proposed technique by means of both theoretical formulas and simulation results, focusing on data dependent ST.</description><identifier>ISSN: 1053-587X</identifier><identifier>EISSN: 1941-0476</identifier><identifier>DOI: 10.1109/TSP.2008.2010645</identifier><identifier>CODEN: ITPRED</identifier><language>eng</language><publisher>New York, NY: IEEE</publisher><subject>Algorithms ; Applied sciences ; Bandwidth ; Bit error rate ; Blinds ; Channel estimation ; Channels ; Chromium ; Computer simulation ; DDST ; Detection, estimation, filtering, equalization, prediction ; Digital communication ; Digital filters ; Exact sciences and technology ; Finite impulse response filter ; Focusing ; Information, signal and communications theory ; Matched filters ; Miscellaneous ; orthogonal basis expansion ; Orthogonal functions ; Projection ; Signal and communications theory ; Signal processing ; Signal, noise ; superimposed training ; Telecommunications and information theory ; Training ; Transmitters ; universal basis</subject><ispartof>IEEE transactions on signal processing, 2009-03, Vol.57 (3), p.1217-1222</ispartof><rights>2009 INIST-CNRS</rights><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2009</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c383t-406018402da9041fd868d6d82e7f0111c4c2024cdf7ba081b80b6604a7c98abe3</citedby><cites>FETCH-LOGICAL-c383t-406018402da9041fd868d6d82e7f0111c4c2024cdf7ba081b80b6604a7c98abe3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/4703215$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,778,782,794,27911,27912,54745</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/4703215$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=21471832$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Carrasco-Alvarez, R.</creatorcontrib><creatorcontrib>Parra-Michel, R.</creatorcontrib><creatorcontrib>Orozco-Lugo, A.G.</creatorcontrib><creatorcontrib>Tugnait, J.K.</creatorcontrib><title>Enhanced Channel Estimation Using Superimposed Training Based on Universal Basis Expansion</title><title>IEEE transactions on signal processing</title><addtitle>TSP</addtitle><description>In this correspondence, an approach to enhance the quality of superimposed training (ST) based channel estimation procedures is proposed. The approach is based on postprocessing the estimated channel. This postprocessing is performed with the projection of the estimated channel onto a set of orthogonal functions known as the Universal Basis (UB), that were defined in [A. G. Orozco-Lugo, R. Parra-Michel, D. McLernon, and V. Kontorovitch, ldquoEnhancing the Performance of the CR Blind Channel Estimation Algorithm Using the Karhunen-Loeve Expansion,rdquo Proceedings of the ICASSP , May 2002, pp. III-2653-III-2656 ]. The projection leads to improved channel estimation when compared to raw ST methods. We demonstrate the enhanced performance of the proposed technique by means of both theoretical formulas and simulation results, focusing on data dependent ST.</description><subject>Algorithms</subject><subject>Applied sciences</subject><subject>Bandwidth</subject><subject>Bit error rate</subject><subject>Blinds</subject><subject>Channel estimation</subject><subject>Channels</subject><subject>Chromium</subject><subject>Computer simulation</subject><subject>DDST</subject><subject>Detection, estimation, filtering, equalization, prediction</subject><subject>Digital communication</subject><subject>Digital filters</subject><subject>Exact sciences and technology</subject><subject>Finite impulse response filter</subject><subject>Focusing</subject><subject>Information, signal and communications theory</subject><subject>Matched filters</subject><subject>Miscellaneous</subject><subject>orthogonal basis expansion</subject><subject>Orthogonal functions</subject><subject>Projection</subject><subject>Signal and communications theory</subject><subject>Signal processing</subject><subject>Signal, noise</subject><subject>superimposed training</subject><subject>Telecommunications and information theory</subject><subject>Training</subject><subject>Transmitters</subject><subject>universal basis</subject><issn>1053-587X</issn><issn>1941-0476</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNp9kU1LxDAQhoso-HkXvBRBPXWdSdIkPeqyfoCg4AriJWTTVCPdtCa7ov_elF08ePCSSWaed8LMm2WHCCNEqM6njw8jAiDTgcBZuZHtYMWwACb4ZrpDSYtSiuftbDfGdwBkrOI72cvEv2lvbJ2PU_S2zSdx4eZ64TqfP0XnX_PHZW-Dm_ddTNQ0aOeH7KUengPk3acNUbdDysV88tVrH5N8P9tqdBvtwTruZU9Xk-n4pri7v74dX9wVhkq6KBhwQMmA1LoChk0tuax5LYkVDSCiYYYAYaZuxEyDxJmEGefAtDCV1DNL97KzVd8-dB9LGxdq7qKxbau97ZZRSVECEYxBIk__JSmrgFQVSeDxH_C9WwafplCSI1JScpkgWEEmdDEG26g-rUmHb4WgBk9U8kQNnqi1J0lysu6ro9FtE9LqXfzVEWQCJR3-P1pxzlr7W2YCKMGS_gBdY5Oc</recordid><startdate>20090301</startdate><enddate>20090301</enddate><creator>Carrasco-Alvarez, R.</creator><creator>Parra-Michel, R.</creator><creator>Orozco-Lugo, A.G.</creator><creator>Tugnait, J.K.</creator><general>IEEE</general><general>Institute of Electrical and Electronics Engineers</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>F28</scope><scope>FR3</scope></search><sort><creationdate>20090301</creationdate><title>Enhanced Channel Estimation Using Superimposed Training Based on Universal Basis Expansion</title><author>Carrasco-Alvarez, R. ; Parra-Michel, R. ; Orozco-Lugo, A.G. ; Tugnait, J.K.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c383t-406018402da9041fd868d6d82e7f0111c4c2024cdf7ba081b80b6604a7c98abe3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Algorithms</topic><topic>Applied sciences</topic><topic>Bandwidth</topic><topic>Bit error rate</topic><topic>Blinds</topic><topic>Channel estimation</topic><topic>Channels</topic><topic>Chromium</topic><topic>Computer simulation</topic><topic>DDST</topic><topic>Detection, estimation, filtering, equalization, prediction</topic><topic>Digital communication</topic><topic>Digital filters</topic><topic>Exact sciences and technology</topic><topic>Finite impulse response filter</topic><topic>Focusing</topic><topic>Information, signal and communications theory</topic><topic>Matched filters</topic><topic>Miscellaneous</topic><topic>orthogonal basis expansion</topic><topic>Orthogonal functions</topic><topic>Projection</topic><topic>Signal and communications theory</topic><topic>Signal processing</topic><topic>Signal, noise</topic><topic>superimposed training</topic><topic>Telecommunications and information theory</topic><topic>Training</topic><topic>Transmitters</topic><topic>universal basis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Carrasco-Alvarez, R.</creatorcontrib><creatorcontrib>Parra-Michel, R.</creatorcontrib><creatorcontrib>Orozco-Lugo, A.G.</creatorcontrib><creatorcontrib>Tugnait, J.K.</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><jtitle>IEEE transactions on signal processing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Carrasco-Alvarez, R.</au><au>Parra-Michel, R.</au><au>Orozco-Lugo, A.G.</au><au>Tugnait, J.K.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Enhanced Channel Estimation Using Superimposed Training Based on Universal Basis Expansion</atitle><jtitle>IEEE transactions on signal processing</jtitle><stitle>TSP</stitle><date>2009-03-01</date><risdate>2009</risdate><volume>57</volume><issue>3</issue><spage>1217</spage><epage>1222</epage><pages>1217-1222</pages><issn>1053-587X</issn><eissn>1941-0476</eissn><coden>ITPRED</coden><abstract>In this correspondence, an approach to enhance the quality of superimposed training (ST) based channel estimation procedures is proposed. The approach is based on postprocessing the estimated channel. This postprocessing is performed with the projection of the estimated channel onto a set of orthogonal functions known as the Universal Basis (UB), that were defined in [A. G. Orozco-Lugo, R. Parra-Michel, D. McLernon, and V. Kontorovitch, ldquoEnhancing the Performance of the CR Blind Channel Estimation Algorithm Using the Karhunen-Loeve Expansion,rdquo Proceedings of the ICASSP , May 2002, pp. III-2653-III-2656 ]. The projection leads to improved channel estimation when compared to raw ST methods. We demonstrate the enhanced performance of the proposed technique by means of both theoretical formulas and simulation results, focusing on data dependent ST.</abstract><cop>New York, NY</cop><pub>IEEE</pub><doi>10.1109/TSP.2008.2010645</doi><tpages>6</tpages></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | ISSN: 1053-587X |
| ispartof | IEEE transactions on signal processing, 2009-03, Vol.57 (3), p.1217-1222 |
| issn | 1053-587X 1941-0476 |
| language | eng |
| recordid | cdi_ieee_primary_4703215 |
| source | IEEE Electronic Library (IEL) |
| subjects | Algorithms Applied sciences Bandwidth Bit error rate Blinds Channel estimation Channels Chromium Computer simulation DDST Detection, estimation, filtering, equalization, prediction Digital communication Digital filters Exact sciences and technology Finite impulse response filter Focusing Information, signal and communications theory Matched filters Miscellaneous orthogonal basis expansion Orthogonal functions Projection Signal and communications theory Signal processing Signal, noise superimposed training Telecommunications and information theory Training Transmitters universal basis |
| title | Enhanced Channel Estimation Using Superimposed Training Based on Universal Basis Expansion |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-16T04%3A28%3A57IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_RIE&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Enhanced%20Channel%20Estimation%20Using%20Superimposed%20Training%20Based%20on%20Universal%20Basis%20Expansion&rft.jtitle=IEEE%20transactions%20on%20signal%20processing&rft.au=Carrasco-Alvarez,%20R.&rft.date=2009-03-01&rft.volume=57&rft.issue=3&rft.spage=1217&rft.epage=1222&rft.pages=1217-1222&rft.issn=1053-587X&rft.eissn=1941-0476&rft.coden=ITPRED&rft_id=info:doi/10.1109/TSP.2008.2010645&rft_dat=%3Cproquest_RIE%3E2315594011%3C/proquest_RIE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=861132568&rft_id=info:pmid/&rft_ieee_id=4703215&rfr_iscdi=true |